Design Challenges and Misconceptions in Neural Sequence Labeling

Design Challenges and Misconceptions in Neural Sequence Labeling

12 June 2018

Jie Yang

Shuailong Liang

Papers citing "Design Challenges and Misconceptions in Neural Sequence Labeling"

6 / 6 papers shown

Title
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation Xin Wang Ling Feng Huijun Zhang Lei Cao Kaisheng Zeng Qi Li Yang Ding Yi Dai David A. Clifton 20 0 0 03 May 2025
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling Xinyu Wang Yong-jia Jiang Nguyen Bach Tao Wang Fei Huang Kewei Tu 8 36 0 08 Apr 2020
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank Zhang Meishan Zhang Yue Fu Guo-hong 6 35 0 05 Sep 2019
Benchmarking Approximate Inference Methods for Neural Structured Prediction Lifu Tu Kevin Gimpel BDL 14 17 0 01 Apr 2019
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging Barbara Plank Sigrid Klerke Zeljko Agic NAI 29 4 0 21 Nov 2018
NCRF++: An Open-source Neural Sequence Labeling Toolkit Jie Yang Yue Zhang 39 188 0 14 Jun 2018